/usr/lib64/python3.12/asyncio
NameSizeModeActions
__pycache__/-0755rm
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constants.py14130644editdlrm
coroutines.py33420644editdlrm
events.py293390644editdlrm
exceptions.py17520644editdlrm
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runners.py72300644editdlrm
selector_events.py483320644editdlrm
sslproto.py318990644editdlrm
staggered.py70770644editdlrm
streams.py276190644editdlrm
subprocess.py77370644editdlrm
taskgroups.py95590644editdlrm
tasks.py373620644editdlrm
threads.py7900644editdlrm
timeouts.py53210644editdlrm
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trsock.py24750644editdlrm
unix_events.py531240644editdlrm
windows_events.py325870644editdlrm
windows_utils.py50600644editdlrm
__init__.py12200644editdlrm
__main__.py34910644editdlrm
Edit: /usr/lib64/python3.12/asyncio/runners.py (7230B)
__all__ = ('Runner', 'run') import contextvars import enum import functools import threading import signal from . import coroutines from . import events from . import exceptions from . import tasks from . import constants class _State(enum.Enum): CREATED = "created" INITIALIZED = "initialized" CLOSED = "closed" class Runner: """A context manager that controls event loop life cycle. The context manager always creates a new event loop, allows to run async functions inside it, and properly finalizes the loop at the context manager exit. If debug is True, the event loop will be run in debug mode. If loop_factory is passed, it is used for new event loop creation. asyncio.run(main(), debug=True) is a shortcut for with asyncio.Runner(debug=True) as runner: runner.run(main()) The run() method can be called multiple times within the runner's context. This can be useful for interactive console (e.g. IPython), unittest runners, console tools, -- everywhere when async code is called from existing sync framework and where the preferred single asyncio.run() call doesn't work. """ # Note: the class is final, it is not intended for inheritance. def __init__(self, *, debug=None, loop_factory=None): self._state = _State.CREATED self._debug = debug self._loop_factory = loop_factory self._loop = None self._context = None self._interrupt_count = 0 self._set_event_loop = False def __enter__(self): self._lazy_init() return self def __exit__(self, exc_type, exc_val, exc_tb): self.close() def close(self): """Shutdown and close event loop.""" if self._state is not _State.INITIALIZED: return try: loop = self._loop _cancel_all_tasks(loop) loop.run_until_complete(loop.shutdown_asyncgens()) loop.run_until_complete( loop.shutdown_default_executor(constants.THREAD_JOIN_TIMEOUT)) finally: if self._set_event_loop: events.set_event_loop(None) loop.close() self._loop = None self._state = _State.CLOSED def get_loop(self): """Return embedded event loop.""" self._lazy_init() return self._loop def run(self, coro, *, context=None): """Run a coroutine inside the embedded event loop.""" if not coroutines.iscoroutine(coro): raise ValueError("a coroutine was expected, got {!r}".format(coro)) if events._get_running_loop() is not None: # fail fast with short traceback raise RuntimeError( "Runner.run() cannot be called from a running event loop") self._lazy_init() if context is None: context = self._context task = self._loop.create_task(coro, context=context) if (threading.current_thread() is threading.main_thread() and signal.getsignal(signal.SIGINT) is signal.default_int_handler ): sigint_handler = functools.partial(self._on_sigint, main_task=task) try: signal.signal(signal.SIGINT, sigint_handler) except ValueError: # `signal.signal` may throw if `threading.main_thread` does # not support signals (e.g. embedded interpreter with signals # not registered - see gh-91880) sigint_handler = None else: sigint_handler = None self._interrupt_count = 0 try: return self._loop.run_until_complete(task) except exceptions.CancelledError: if self._interrupt_count > 0: uncancel = getattr(task, "uncancel", None) if uncancel is not None and uncancel() == 0: raise KeyboardInterrupt() raise # CancelledError finally: if (sigint_handler is not None and signal.getsignal(signal.SIGINT) is sigint_handler ): signal.signal(signal.SIGINT, signal.default_int_handler) def _lazy_init(self): if self._state is _State.CLOSED: raise RuntimeError("Runner is closed") if self._state is _State.INITIALIZED: return if self._loop_factory is None: self._loop = events.new_event_loop() if not self._set_event_loop: # Call set_event_loop only once to avoid calling # attach_loop multiple times on child watchers events.set_event_loop(self._loop) self._set_event_loop = True else: self._loop = self._loop_factory() if self._debug is not None: self._loop.set_debug(self._debug) self._context = contextvars.copy_context() self._state = _State.INITIALIZED def _on_sigint(self, signum, frame, main_task): self._interrupt_count += 1 if self._interrupt_count == 1 and not main_task.done(): main_task.cancel() # wakeup loop if it is blocked by select() with long timeout self._loop.call_soon_threadsafe(lambda: None) return raise KeyboardInterrupt() def run(main, *, debug=None, loop_factory=None): """Execute the coroutine and return the result. This function runs the passed coroutine, taking care of managing the asyncio event loop, finalizing asynchronous generators and closing the default executor. This function cannot be called when another asyncio event loop is running in the same thread. If debug is True, the event loop will be run in debug mode. If loop_factory is passed, it is used for new event loop creation. This function always creates a new event loop and closes it at the end. It should be used as a main entry point for asyncio programs, and should ideally only be called once. The executor is given a timeout duration of 5 minutes to shutdown. If the executor hasn't finished within that duration, a warning is emitted and the executor is closed. Example: async def main(): await asyncio.sleep(1) print('hello') asyncio.run(main()) """ if events._get_running_loop() is not None: # fail fast with short traceback raise RuntimeError( "asyncio.run() cannot be called from a running event loop") with Runner(debug=debug, loop_factory=loop_factory) as runner: return runner.run(main) def _cancel_all_tasks(loop): to_cancel = tasks.all_tasks(loop) if not to_cancel: return for task in to_cancel: task.cancel() loop.run_until_complete(tasks.gather(*to_cancel, return_exceptions=True)) for task in to_cancel: if task.cancelled(): continue if task.exception() is not None: loop.call_exception_handler({ 'message': 'unhandled exception during asyncio.run() shutdown', 'exception': task.exception(), 'task': task, })